Image Processing Disparity Calculation Using Effective Focal Length Ranges
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Solution Overview
Problem
Current image processing systems face challenges in efficiently and accurately calculating disparities using all image data, which can be a hardware burden, necessitating a method to determine an effective range for focal length and equivalent aperture values based on previously acquired disparities.
Innovation Solution
An image processing system and method that include a preprocessor to determine the effective range of focal length and representative equivalent aperture values, and a disparity calculator to calculate disparities using these values, along with actual and virtual distances, to efficiently calculate disparities for a target object within the effective range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If disparities are calculated using all image data, then measurement precision is improved, but device complexity increases due to hardware burden
Solution Approach 1:
The patent extracts only the necessary image data corresponding to the effective range of focal lengths for disparity calculation, rather than processing all image data. The preprocessor identifies and extracts relevant image regions based on focal length ranges, reducing the data volume that needs to be processed by the disparity calculator while maintaining calculation accuracy for objects within the effective range.
Solution Approach 2:
The patent segments the image data processing into two stages: first, a preprocessor segment that determines the effective focal length range and extracts relevant image data; second, a disparity calculator segment that performs disparity calculation only on the extracted data. This segmentation divides the complex task of processing all image data into manageable parts, reducing overall hardware complexity.
2Productivity
If a theoretical model is used to calculate disparities, then productivity is improved, but measurement precision may be compromised
Solution Approach 1:
The patent changes the parameter of focal length to define an effective range, and uses this parameter to select and process only relevant image data. By adjusting the focal length parameter and corresponding aperture values, the system optimizes the balance between processing efficiency and measurement precision, allowing theoretical model calculations to be both fast and accurate within the determined effective range.
Data Source
AI summary
Provided is an image processing system and a disparity calculation method. An image processing device included in the image processing system includes a preprocessor configured to determine an effective range of a focal length of an image sensor based on first disparities measured at a plurality of focal lengths of an object having a fixed position from the image sensor, and determine a representative value of equivalent aperture values for the image sensor corresponding to the effective range based on the first disparities. The image processing device also includes a disparity calculator configured to calculate a second disparity of the target object within the effective range based on the focal length, a first distance, a second distance, and the representative value of the equivalent aperture values.